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Software Engineer Manager Jobs in Burlington, VT

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Front End Web Developer UI/UX

Burlington, VT · On-site

$102K - $119K/yr

... software architecture and engineering • Apply and promote good software engineering practices ... design, management and administration. • Health data and web-enabled APIs integration.

Signify

Lead Development Engineer

Burlington, VT · On-site

$154K - $172K/yr

... manage and secure the IoT Platform's modern, microservices-based data infrastructure on the cloud. * Contribute to the definition of common frameworks and software libraries, in various programming ...

Genlyte Group

Lead Development Engineer

Burlington, VT

$154K - $172K/yr

... manage and secure the IoT Platform's modern, microservices-based data infrastructure on the cloud. * Contribute to the definition of common frameworks and software libraries, in various programming ...

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All JobsSoftware Engineer JobsSoftware Engineer Manager JobsSoftware Engineer Manager Jobs in Burlington, VT

Software Engineer Manager information

See Burlington, VT salary details

$99.9K

$170K

$201.3K

How much do software engineer manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for software engineer manager in Burlington, VT is $170,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,700.00 and $173,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by software engineer managers when transitioning from an individual contributor role?

Software Engineer Managers often find the shift from coding-focused work to leadership responsibilities challenging. Instead of primarily writing code, their days are filled with mentoring team members, managing project timelines, and facilitating communication between technical and non-technical stakeholders. Balancing technical oversight with people management, and learning to delegate effectively, are critical skills to develop. Additionally, they must stay current with technology trends while focusing on team growth and performance.

What is the difference between Software Engineer Manager vs Software Developer?

AspectSoftware Engineer ManagerSoftware Developer
CredentialsBachelor's or higher in CS or related field; often leadership experienceBachelor's degree in CS or related field; coding skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, designing, and implementing software solutions
Industry UsageCommon in tech companies, startups, large enterprisesWidespread across industries, including tech, finance, healthcare
Search & Comparison IntentUnderstanding managerial roles, career progressionTechnical skills, coding responsibilities

The main difference between a Software Engineer Manager and a Software Developer lies in their responsibilities. The manager oversees teams, manages projects, and aligns technical work with business goals, while the developer primarily focuses on coding and building software solutions. Both roles require strong technical skills, but the manager also needs leadership and project management abilities.

What is a software engineer manager?

A Software Engineer Manager is a professional who leads a team of software engineers, overseeing the design, development, and deployment of software projects. They are responsible for managing team performance, setting goals, and ensuring that projects are completed on time and within budget. In addition to technical expertise, they also handle hiring, mentoring, and career development of team members. Software Engineer Managers often collaborate with other departments to align technical solutions with business objectives. Their role combines leadership, project management, and deep technical knowledge.

What are the key skills and qualifications needed to thrive as a software engineer manager?

To thrive as a Software Engineer Manager, you need a solid background in software development, team leadership experience, and often a degree in computer science or a related field. Familiarity with project management tools (like Jira), version control systems (such as Git), and cloud platforms (e.g., AWS, Azure) is typically required, along with relevant certifications. Exceptional communication, problem-solving, and mentoring abilities help you build effective teams and drive project success. These skills ensure you can lead technical initiatives, foster collaboration, and deliver high-quality software solutions in dynamic environments.
What are the most commonly searched types of Software Engineer jobs in Burlington, VT? The most popular types of Software Engineer jobs in Burlington, VT are:
What are popular job titles related to Software Engineer Manager jobs in Burlington, VT? For Software Engineer Manager jobs in Burlington, VT, the most frequently searched job titles are:
What job categories do people searching Software Engineer Manager jobs in Burlington, VT look for? The top searched job categories for Software Engineer Manager jobs in Burlington, VT are:
What cities near Burlington, VT are hiring for Software Engineer Manager jobs? Cities near Burlington, VT with the most Software Engineer Manager job openings:
Software Engineer Manager jobs near you
Infographic showing various Software Engineer Manager job openings in Burlington, VT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $170,030 per year, or $81.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Colchester, VT • On-site

Other

Re-posted 22 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply